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Model_Figure_.py
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from model_pcb_production import model
from pysb.integrate import odesolve
import numpy as np
import matplotlib.pyplot as plt
def pltmydata(t):
k1 = 1.228e-01
k2 = 1e-12
k3 = 5.68750000e-01
k4 = 1e-12
k5 = 2.22857143e-01
k6 = 4.75000000e-01
k7 = 1.82500000e-01
k8 = 1e-12
k9 = 2.5000000e-01
k10 = 1e-12
k11 = 0.122
k12 = 0.2667
k13 = 0.225
kdegpcb = 0.1567
# Initial Conditions
# Heme_0 = 100
HO1_0 = 10
Fd_0 = 5
Fde_0 = Fd_0
PcyA_0 = 10
Heme_0 = [100, 10, 1, 0.1, 0.01]
param = []
plt.rc('font', family='arial')
for i0 in range (0,5):
temp = np.array([k1, k2, k3, k4, k5, k6, k7, k8, k9, k10, k11, k12,k13, kdegpcb, Heme_0[i0], HO1_0, Fd_0, PcyA_0, 1])
param.append(temp)
param = np.asarray(param)
fig = plt.figure(figsize=(12, 16))
ax = fig.add_subplot(1,1,1)
x=odesolve(model,t,param[0,:])
ax.plot(t,x['__s13'], color='k', marker='o', ls='solid', fillstyle='full', markersize=15, markerfacecolor='0.5', markevery=5, markeredgewidth=2, linewidth=2.0, label='[Heme]=100c')
x=odesolve(model,t,param[1,:])
ax.plot(t,x['__s13'], color='k', marker='v', ls='solid', fillstyle='full', markersize=15, markerfacecolor='white', markevery=4,markeredgewidth=2, linewidth=2.0, label='[Heme]=10.0c')
x=odesolve(model,t,param[2,:])
ax.plot(t,x['__s13'], color='k', marker='^', ls='solid', fillstyle='full', markersize=15, markerfacecolor='0.3', markevery=5,markeredgewidth=2, linewidth=2.0, label='[Heme]=5.0c')
x=odesolve(model,t,param[3,:])
ax.plot(t,x['__s13'], color='k', marker='x', ls='solid', fillstyle='full', markersize=15, markerfacecolor='black', markevery=5,markeredgewidth=2, linewidth=2.0, label='[Heme]=1.0c')
x=odesolve(model,t,param[4,:])
ax.plot(t,x['__s13'], color='k', marker='d', ls='solid', fillstyle='full', markersize=15, markerfacecolor='black', markevery=5,markeredgewidth=2, linewidth=2.0, label='[Heme]=0.01c')
ax.set_xlabel('Time (h)', fontsize=28, fontweight='bold', labelpad=5)
ax.set_ylabel('PCB concentration (RU)', fontsize=28, fontweight='bold', labelpad=5)
ax.tick_params(axis='both', labelsize=28, pad=5)
ax.tick_params(width=3, length=20)
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.yaxis.set_ticks_position('left')
ax.xaxis.set_ticks_position('bottom')
for axis in ['bottom', 'left']:
ax.spines[axis].set_linewidth(8)
plt.yticks(np.arange(0.0, 4, 1.), fontweight='bold')
plt.xticks(np.arange(0, 100, 20), fontweight='bold')
plt.legend(fontsize=28, loc=1)
plt.show()
def main():
t = np.linspace(0,100,100)
pltmydata(t)
plt.show()
main()